Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor Architecture | Quad-Core ARM Cortex-A55 + RISC-V |
| NPU Capability | Integrated Neural Processing Unit for AI inference |
| UART Channels | 17-channel high-speed UART interface |
| Operating Temperature | -40°C to +85°C (Industrial Grade) |
| Memory Support | LPDDR4/LPDDR4X up to 4GB |
| Storage Interface | eMMC 5.1, SD Card, SPI Flash |
| Display Output | Dual MIPI-DSI, LVDS, HDMI 2.0 |
| Connectivity | Dual Gigabit Ethernet, Wi-Fi 6 ready |
| Expansion Interfaces | PCIe 3.0, USB 3.0, CAN FD, I2C, SPI |
| Power Supply | DC 12V input with PMIC management |
Anonymous
Mar 30, 2026
Rating: 5/5
Best Value for Quad-Core + RISC-V
The combination of ARM and RISC-V cores allows us to offload real-time tasks efficiently. Boot times are fast, and the community support is growing. A fantastic development platform.
Anonymous
Mar 27, 2026
Rating: 4/5
Great Performance, Documentation Needs Work
The T536 chip is powerful and the RISC-V co-processor adds nice flexibility. However, some of the English documentation for the NPU SDK could be more detailed. Overall, a solid choice for embedded dev.
Anonymous
Mar 20, 2026
Rating: 5/5
Robust Connectivity Options
Having dual Gigabit Ethernet and so many serial ports on one board saves us from needing extra expansion modules. It simplified our PCB design significantly. Very happy with this purchase.
Anonymous
Mar 17, 2026
Rating: 4/5
Solid Industrial Board
Works well in our factory automation setup. The wide temperature range is genuine; we tested it in a cold storage facility and it performed flawlessly. Just wish the GPIO header labeling was clearer.
Anonymous
Mar 15, 2026
Rating: 5/5
Perfect for Edge AI Applications
We deployed this for a visual inspection system. The NPU performance is impressive for the price point, and the thermal management keeps it stable even under continuous load. Highly recommended.
Anonymous
Mar 10, 2026
Rating: 5/5
Excellent for Industrial IoT Prototyping
The 17-channel UART support is a game changer for our gateway projects. The board handles multiple sensor inputs without breaking a sweat. Build quality feels very robust for industrial environments.
Q: Are schematic diagrams available for custom carrier board design?
A: Yes, registered users can download the full hardware reference manual, including schematics and PCB layout guidelines, from our official developer portal after purchasing the board.
Q: Can I power this board directly via USB-C?
A: No, for industrial stability and to drive all peripherals, we recommend using the dedicated 12V DC barrel jack. USB-C is available for data and debugging but does not provide sufficient power for full operation.
Q: Does this board come with a pre-installed OS or is it bare metal?
A: The board typically ships with a bootloader and a demo Android or Linux image on the eMMC. You can also flash custom Yocto or Buildroot images depending on your project needs.
Q: Is the NPU compatible with TensorFlow Lite or ONNX models?
A: Yes, the Allwinner T536 NPU supports model conversion from TensorFlow, Caffe, and ONNX via the provided toolchain. Please refer to the SDK documentation for specific layer support.
Q: What is the maximum resolution supported on the HDMI output?
A: The HDMI 2.0 port supports up to 4K resolution at 60Hz. It also supports HDR10 for compatible displays.
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